CNS Core: Small: Collaborative Research: Multi-dimensional All-Optical Networking

今天的互联网骨干几乎完全由光纤组成。新型光纤的部署，如多核或多模光纤，可以通过在不相交的平行空间路径上传输多个数据流，从而显着增加网络容量，这种技术称为空分多路复用。本研究项目旨在优化基于多芯光纤的全光网络设计。该项目的成果将有助于学术和工业研究界寻求一个更快、更高效的互联网，能够支持未来的信息服务，并在数十亿设备之间提供连接。该项目的主要目标是设计基于多核光纤的全光网络，具有每秒千兆比特的链路和可重构的加丢多路复用器。该项目将描述代表网络规模基本限制的物理层性能。具体而言，它有以下目标：(i)开发一种物理层感知网络仿真工具，用于有效计算各种光网络拓扑的端到端性能，同时考虑到空分多路复用特有的传输障碍的影响；ii)构建实验测试平台，研究基于多芯光纤的光网络中光组件和光节点的级联性；（iii）使用信号正交分量和空间信道组的联合调制设计多维调制格式（超级星座）。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Today's Internet backbone is composed almost entirely of optical fibers. The deployment of new types of optical fibers, such as multicore or multimode optical fibers, can dramatically increase network capacity through transmission of multiple data streams over disjoint parallel spatial paths, a technique called space division multiplexing. This research project seeks to optimize the design of all-optical networks based on multicore fibers. The project's outcomes will help the academic and industrial research community in its quest for a faster, more efficient Internet, capable of supporting future information services and providing connectivity among billions of devices. The primary goal of this project is to design all-optical networks based on multicore fibers with petabit-per-second links and reconfigurable add-drop multiplexers. The project will characterize physical layer performance that represents fundamental limits on network scale. Specifically, it has the following objectives: (i) Development of a physical-layer-aware network simulation tool for the efficient computation of the end-to-end performance of various optical network topologies, taking into account the impact of transmission impairments unique to space division multiplexing; ii) Construction of an experimental testbed to study the cascadability of optical components and optical nodes in optical networks based on multicore fibers; (iii) Design of multidimensional modulation formats (super-constellations) using joint modulation of the signal quadrature components and of groups of spatial channels.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.